Temporal Session Patterns
Temporal Session Patterns is a methodological construct in session analysis that identifies recurring, time-dependent structures in user interaction sequences by modeling the temporal dynamics and sequential dependencies inherent in session-based data.
19
Publications
879
Citations
80
Authors
38
Institutions
Publications per year
2017–2026
6
Parents
19
Temporal recommendation on graphs via long- and short-term preference fusion
Liang Xiang, Quan Yuan, Shiwan Zhao et al. · 2010 · 378 citations
User Session Identification Based on Strong Regularities in Inter-activity Time
Aaron Halfaker, Os Keyes, Daniel Kluver et al. · 2015 · 82 citations
Understanding user behavior in Spotify
Boxun Zhang, Gunnar Kreitz, Marcus Isaksson et al. · 2013 · 68 citations
Neural Session-Aware Recommendation
Từ Minh Phương, Tran Cong Thanh, Ngo Xuan Bach · IEEE Access · 2019 · 36 citations · Full text
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Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
2 h-index
12 publications
234 citations

Delft University of Technology
Delft, The Netherlands
1 h-index
3 publications
204 citations

University of Minnesota
Minneapolis, United States
1 h-index
6 publications
492 citations

University of Mississippi Medical Center
Jackson, United States
1 h-index
1 publications
29 citations
Vietnam Posts and Telecommunications Group (Vietnam)
Ho Chi Minh City, Vietnam
1 h-index
1 publications
36 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
2 publications
32 citations
The University of Tokyo
Tokyo, Japan
1 h-index
1 publications
10 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
1 h-index
2 publications
40 citations
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1 publications · 29 citations
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PER · 1 publications · 24 citations
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1 publications · 36 citations
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1 publications · 27 citations
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1 publications · 54 citations
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